Data Architect for Enterprise Data Solutions

6 days ago

Markham, Ontario, Canada Natural Factors Full time

**About Us**

Natural Factors, a leading network management services provider, is seeking an innovative data engineer to join our team. With a strong focus on delivering high-quality solutions, we are committed to excellence in all aspects of our business.

We offer a competitive salary range of $120,000 - $180,000 per year, depending on experience, as well as a comprehensive benefits package and opportunities for growth and development.

About the Role

We are looking for a highly skilled data engineer who can work collaboratively with our internal teams to understand business goals and objectives. The successful candidate will be responsible for building, operating, and supporting data applications, keeping our ETL pipelines and data applications optimized for scale.

The ideal candidate will have a minimum of 5+ years of hands-on experience creating specifications and developing data transformations using Pentaho ETL (or commensurate) with an orchestration service such as Airflow, Cloud Composer, etc.

Additionally, the candidate should have experience in Java and AI, Machine Learning, strong query skills using MySQL, BigQuery and NoSQL databases (e.g. MongoDB), and implementing reports with JasperReports & BI tools (e.g. Looker).

**Responsibilities:**

  • Collaborate with internal team members to understand business goals and objectives
  • Build, operate, and support data applications, keeping our ETL pipelines and data applications optimized for scale
  • Act as a reviewer for new data models, make data architectural decisions, and provide coaching on data modeling, data standards, and best practices for optimal execution
  • With our Architecture team, shape and plan out modernization projects as we migrate existing components and introduce new technologies
  • Enhance and maintain existing Jasper reports
  • Analyze and diagnose complex business problems and identify their root cause using data using your incredible query skills
  • Define and document data solutions mindful of performance, scalability, and platform re-usability in collaboration with our Application Architects
  • Understand data sets, both business and technical, generating specifications that entail source and target mapping
  • Provide task estimates adjusted for complexity
  • Investigate and resolve system issues
  • Collaborate with the team to prioritize and solve requirements
  • Contributes to QA efforts where needed
  • Contribute to a team culture of ownership, accountability, respect, and partnership
  • Recommend improvements to streamline processes regarding data flow and data quality to improve data accuracy, usability, and value

Requirements:

  • Minimum of 5+ years of hands-on experience creating specifications and developing data transformations using Pentaho ETL (or commensurate) with an orchestration service such as Airflow, Cloud Composer, etc
  • Experience in Java and AI, Machine Learning
  • Strong query skills using MySQL, BigQuery, and NoSQL databases (e.g. MongoDB)
  • Implementing reports with JasperReports & BI tools (e.g. Looker)
  • Experience working with Index Search tools such as Solr, Elasticsearch
  • MySQL database administration such as data tuning and schema optimization
  • Experience in all stages of the software development lifecycle, with a desire for durable high-quality output in what you code
  • Strong communication, client-facing, and presentation skills
  • Able to work under pressure and meet deadlines remaining flexible and responsive to rapid change when needed
  • Hands-on experience in Linux/Unix environment
  • Experience working with DevOps practices, including continuous integration and continuous delivery using Jenkins and Github
  • Experience developing applications with Python, R, Java, or GoLang
  • Strong knowledge of statistical methods, particularly in areas of modeling and business analytics
  • Developing applications related to the real estate, mortgage/financial industry
  • Experience with Google's GenAI suite (e.g. Vertex)
  • University degree in Computer Science, Computer Engineering, or equivalent knowledge/experience
  • 2+ years of experience in a data analyst or science role, involving some of the following: data analysis, data mining, ETL, predictive modeling
  • 1+ years of experience building applications with Java/Spring Boot

We are an equal opportunity employer and welcome applications from diverse candidates. We are committed to providing a workplace that is inclusive and free from discrimination.

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